Understanding artificial neural networks and exploring their potential applications for the practicing urologist - 08/09/11
Abstract |
Artificial neural networks (ANNs) are complex mathematical models that are distantly based on the human neuronal structure. They are capable of modeling elaborate biologic systems without making assumptions based on statistical distributions. Preliminary work has been reported on their application in urology. The initial results have been promising, particularly as an additional tool in the detection of early prostate cancer using the ProstAsure Index, which has been the most extensively studied urologic ANN to date. We review the basic concepts behind ANNs and examine currently existing and potential future applications of this new dynamic technology both in urology and in general clinical medicine.
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 | Dr. Stephen D. Barnhill is the Executive Vice-President/Medical Director and Dr. Zhen Zhang is the Senior Vice-President of Research and Development, Dr. K. Rama Madyastha is the Director of Clinical Laboratories, and Dr. Hong Zhang is the Director of Computer Services and Applied Mathematics at Horus Therapeutics, Inc. Dr. Joseph E. Oesterling is a member of the Horus Therapeutics, Inc. Scientific Advisory Committee and has functioned as a consultant in this capacity. Horus Therapeutics is the commercial entity responsible for the development of the ProstAsure Index. |
Vol 52 - N° 2
P. 161-172 - août 1998 Retour au numéro
- Screening digital rectal examination and prostate cancer mortality: a population-based case-control study
- Steven J Jacobsen, Erik J Bergstralh, Slavica K Katusic, Harry A Guess, Charles H Darby, Marc D Silverstein, Joseph E Oesterling, Michael M Lieber
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